|
CBMI is the annual conference that brings together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. After 15 successful editions of the CBMI workshop, CBMI became a conference in 2018 and the next edition will take place in Dublin, Ireland from 4-6 September 2019. The scientific program will include invited keynote talks, regular papers, demonstration papers and three special sessions on “Medical Image Mining and Health” (MIME), “Signals And Multimedia” (SAM), and “Multimedia Indexing for Comics” (MIC).
Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications using the CBMI 2019 submission system: https://www.conftool.org/cbmi2019/. We wish to highlight significant contributions addressing the main problems of search and retrieval but also the related and equally important issues of multimedia content management, user interaction, large-scale search, machine learning in retrieval, social media indexing and retrieval.
Authors can submit full length (6 pages – to be presented as oral presentation) or short papers (4 pages – to be presented as posters) to the regular or special sessions. All paper limits are assumed to include references. Additionally demonstration papers (up to 4 pages) may also be submitted that highlight interesting and novel demos of CBMI-related technologies. The submissions are peer reviewed in a single blind process. The language of the conference is English. The CBMI 2019 conference adheres to the IEEE paper formatting guidelines. When preparing your submission, please follow the IEEE guidelines given by IEEE at the Manuscript Templates for Conference Proceedings.
The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of the best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field.
Topics of interest include, but are not limited to, the following:
• Audio,visual and multimedia indexing;
• Multimodal and cross-modal indexing;
• Deep learning for multimedia indexing;
• Visual content extraction;
• Audio (speech, music, etc.) content extraction;
• Identification and tracking of semantic regions and events;
• Social media analysis;
• Metadata generation, coding and transformation;
• Multimedia information retrieval (image, audio, video, text);
• Mobile media retrieval;
• Event-based media processing and retrieval;
• Affective/emotional interaction or interfaces for multimedia retrieval;
• Multimedia data mining and analytics;
• Multimedia recommendation;
• Large scale multimedia database management;
• Summarization, browsing and organization of multimedia content;
• Personalization and content adaptation;
• User interaction and relevance feedback;
• Multimedia interfaces, presentation and visualization tools;
• Evaluation and benchmarking of multimedia retrieval systems;
• Applications of multimedia retrieval, e.g., medicine, lifelogs, satellite imagery, video surveillance;
• Cultural heritage applications.
|
